Evolutionary Spectrum for Random Field and Missing Observations

Author:

Sabre Rachid

Publisher

Springer Berlin Heidelberg

Reference21 articles.

1. Al-Shoshan, A.I., Chaparro, L.F.: Identification of non-minimum phase systems using evolutionary spectral theory. Signal Processing 55(1), 79–92 (1996)

2. Bloomfield, P.: Spectral analysis with randomly missing observations. J. Roy. Statistical Society 32(3), 369–380 (1970)

3. Cabrera, S.D., Flores, B.C., Thomas, G., Vega-Pineda, J.: Evolutionary spectral estimation based on adaptive use of weighted norms. In: Luk, F.T. (ed.) Advanced Signal Processing Algorithms, Architectures, and Implementations IV. SPIE, vol. 2027, pp. 168–179 (1993)

4. Caetano, M., Rodet, X.: Evolutionary spectral envelope morphing by spectral shape descriptors. In: Proceeding of International Computer Music Conferences (ICMC) (August 2009)

5. Feller, W.: An Introduction to Probability Theory and its Applications, 2nd edn., vol. I. Wiley, New York (1957)

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